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Open nowPosted 165 days ago

Software Engineer - Solutions

Artian AI9 open roles

Pay
$125,000 – $150,000 a year
Where
New York
Work mode
On site
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Your applicationOpen nowSoftware Engineer - SolutionsArtian AI · New York

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Artian AI's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 165 days ago

The posting

ABOUT ARTIAN

Artian AI is building agentic AI automation for financial services. Our platform enables reliable, autonomous AI agents to execute business-critical workflows across regulated enterprise environments.

We are an in-person team in New York, building at the intersection of AI, enterprise software, workflow automation, and financial services. We move with urgency, take ownership, communicate transparently, and care deeply about doing excellent work. We are looking for people who are grounded under pressure, learn quickly, earn trust with teammates and customers, and want to help define how AI agents are deployed safely and effectively in the enterprise.

About the Role

Artian AI is looking for a Software Engineer - Solutions to help turn customer workflows into production AI automation. You will work directly with enterprise customers, product teams, and engineering teams to understand operational problems, design technical solutions, build prototypes, and support successful deployments.

This role is ideal for an engineer who enjoys writing code, working with customers, solving ambiguous business problems, and operating at the intersection of product, engineering, and go-to-market.

WHAT YOU’LL DO

- Work with enterprise customers to understand workflows, data environments, integration needs, and success criteria.

- Build prototypes, demos, internal tools, integrations, and implementation accelerators.

- Partner with product and engineering to translate customer requirements into scalable platform capabilities.

- Support deployment of Artian’s agentic AI platform in complex enterprise environments.

- Debug technical issues across customer workflows, integrations, data pipelines, and platform behavior.

- Create documentation, implementation playbooks, and repeatable patterns for customer deployments.

- Serve as a technical bridge between customers, sales, product, and engineering.

WHAT WE’RE LOOKING FOR

- Strong software engineering skills, especially in Python.

- Experience building integrations, APIs, scripts, backend services, demos, or customer-facing technical solutions.

- Ability to understand customer workflows and translate business requirements into technical designs.

- Strong communication skills and comfort working directly with technical and non-technical stakeholders.

- Ability to operate in ambiguity, move quickly, and maintain high standards.

- Interest in AI, automation, financial services, and enterprise software.

NICE TO HAVE

- BS in Computer Science, Engineering or a closely related engineering discipline, or equivalent industry experience.

- Experience in solutions engineering, sales engineering, implementation engineering, technical consulting, or customer-facing engineering.

- Experience with enterprise SaaS deployments, data integrations, workflow automation, or AI/ML products.

- Experience in financial services, insurance, banking, risk, operations, or compliance workflows.

- Experience building LLM-powered prototypes, agent workflows, or automation demos.

WHY JOIN ARTIAN

- Work directly with customers on high-value enterprise AI deployments.

- Build technical solutions that influence product direction and accelerate revenue.

- Operate across engineering, product, and go-to-market in a high-ownership environment.

- Help define what successful agentic AI deployment looks like in financial services.

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